AI Research

Learning Force-Reactive Humanoid Loco-Manipulation

Medium Severity Global
Date Occurred Oct 26, 2026 17:59 UTC
Event Type AI Research
Source arXiv
Recorded Oct 27, 2026
Full Description

arXiv: Learning Force-Reactive Humanoid Loco-Manipulation Many everyday tasks require controlling contact force as well as motion. On a humanoid, this force must often be coordinated across both hands and the whole body, and cannot be specified by kinematic trajectories alone. Therefore, we present FLORE, a framework for learning force-reactive humanoid loco-manipulation. We collect robot-free demonstrations using two force-sensing UMI-style handheld grippers for hand motion and contact wrenches, and wearable trackers for body motion. A force-reactive

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AI Categories

ethics performance
Event Metadata
  • ID #42638
  • Type AI Research
  • Region Global
  • Severity Medium
  • Indexed Oct 27, 2026